/**
 * Copyright (c) 2024 Huawei Technologies Co., Ltd.
 * This file is a part of the CANN Open Software.
 * Licensed under CANN Open Software License Agreement Version 1.0 (the "License").
 * Please refer to the License for details. You may not use this file except in compliance with the License.
 * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
 * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
 * See LICENSE in the root of the software repository for the full text of the License.
 */
#include <gtest/gtest.h>
#include "kernel_operator.h"
 
using namespace std;
using namespace AscendC;

template <typename srcType>
class KernelLgamma {
public:
    __aicore__ inline KernelLgamma() {}
    __aicore__ inline void Init(GM_ADDR srcGm, GM_ADDR dstGm, uint32_t srcSize)
    {
        srcGlobal.SetGlobalBuffer(reinterpret_cast<__gm__ srcType *>(srcGm), srcSize);
        dstGlobal.SetGlobalBuffer(reinterpret_cast<__gm__ srcType *>(dstGm), srcSize);

        pipe.InitBuffer(inQueueX, 1, srcSize * sizeof(srcType));
        pipe.InitBuffer(outQueue, 1, srcSize * sizeof(srcType));
        bufferSize = srcSize;
    }
    __aicore__ inline void Process()
    {
        CopyIn();
        Compute();
        CopyOut();
    }

private:
    __aicore__ inline void CopyIn()
    {
        LocalTensor<srcType> srcLocal = inQueueX.AllocTensor<srcType>();
        DataCopy(srcLocal, srcGlobal, bufferSize);
        inQueueX.EnQue(srcLocal);
    }
    __aicore__ inline void Compute()
    {
        LocalTensor<srcType> dstLocal = outQueue.AllocTensor<srcType>();
        LocalTensor<srcType> srcLocal = inQueueX.DeQue<srcType>();
        Lgamma<srcType, false>(dstLocal, srcLocal, bufferSize);
        outQueue.EnQue<srcType>(dstLocal);
        inQueueX.FreeTensor(srcLocal);
    }
    __aicore__ inline void CopyOut()
    {
        LocalTensor<srcType> dstLocal = outQueue.DeQue<srcType>();
        DataCopy(dstGlobal, dstLocal, bufferSize);
        outQueue.FreeTensor(dstLocal);
    }

private:
    GlobalTensor<srcType> srcGlobal;
    GlobalTensor<srcType> dstGlobal;

    TPipe pipe;
    TQue<TPosition::VECIN, 1> inQueueX;
    TQue<TPosition::VECOUT, 1> outQueue;
    uint32_t bufferSize = 0;
};

template <typename dataType>
__aicore__ void kernel_lgamma_operator(GM_ADDR srcGm, GM_ADDR dstGm, uint32_t srcSize)
{
    KernelLgamma<dataType> op;
    op.Init(srcGm, dstGm, srcSize);
    op.Process();
}

class TEST_LGAMMA : public testing::Test {
protected:
    void SetUp()
    {
        AscendC::SetGCoreType(2);
    }
    void TearDown()
    {
        AscendC::SetGCoreType(0);
    }
};

#define VEC_LGAMMA_TESTCASE(DATA_TYPE)                                                 \
    TEST_F(TEST_LGAMMA, Lgamma##DATA_TYPE##Case)                                       \
    {                                                                                             \
        uint32_t dataSize = 256;                                                                 \
        uint32_t sel_mask_size = dataSize / AscendCUtils::GetBitSize(sizeof(uint8_t));           \
        uint8_t inputGm[dataSize * sizeof(DATA_TYPE)];                                          \
        uint8_t outputGm[dataSize * sizeof(DATA_TYPE)];                                         \
        kernel_lgamma_operator<DATA_TYPE>(inputGm, outputGm, dataSize);                        \
                                                                                                  \
        for (uint32_t i = 0; i < dataSize; i++) {                                                \
            EXPECT_EQ(outputGm[i], 0x00);                                                        \
        }                                                                                         \
    }

VEC_LGAMMA_TESTCASE(float);
VEC_LGAMMA_TESTCASE(half);
